|
| CudnnConvTransposeGradientOp (const OperatorDef &operator_def, Workspace *ws) |
|
bool | RunOnDevice () override |
|
| CudnnConvTransposeOpBase (const OperatorDef &operator_def, Workspace *ws) |
|
| ConvTransposeUnpoolBase (const OperatorDef &operator_def, Workspace *ws) |
|
void | SetOutputSize (const Tensor< CUDAContext > &input, Tensor< CUDAContext > *output, int output_channel) |
|
bool | RunOnDevice () override |
|
virtual bool | RunOnDeviceWithOrderNCHW () |
|
virtual bool | RunOnDeviceWithOrderNHWC () |
|
| Operator (const OperatorDef &operator_def, Workspace *ws) |
|
const Tensor< CUDAContext > & | Input (int idx) |
|
Tensor< CUDAContext > * | Output (int idx) |
|
void | WaitEvent (const Event &ev, int stream_id=-1) final |
|
void | WaitEvents (const std::vector< const Event * > &events, int stream_id=-1) final |
|
bool | Run (int stream_id=0) final |
|
bool | RunAsync (int stream_id=0) final |
|
bool | IsStreamFree (int stream_id) const override |
|
bool | HasAsyncPart () const override |
|
bool | SupportsAsyncScheduling () const override |
|
const CUDAContext * | getContext () const |
|
| OperatorBase (const OperatorDef &operator_def, Workspace *ws) |
|
bool | HasArgument (const string &name) const |
| Checks if the operator has an argument of the given name.
|
|
template<typename T > |
T | GetSingleArgument (const string &name, const T &default_value) const |
|
template<typename T > |
bool | HasSingleArgumentOfType (const string &name) const |
|
template<typename T > |
vector< T > | GetRepeatedArgument (const string &name, const vector< T > &default_value={}) const |
|
template<typename T > |
const T & | Input (int idx) |
|
template<typename T > |
T * | Output (int idx) |
|
template<typename T > |
T * | Output (int idx, T *allocated) |
|
const Blob & | InputBlob (int idx) |
|
Blob * | OutputBlob (int idx) |
|
template<typename T > |
bool | InputIsType (int idx) |
|
template<typename T > |
bool | OutputIsType (int idx) |
|
int | InputSize () const |
|
int | OutputSize () const |
|
const vector< const Blob * > & | Inputs () const |
|
const vector< Blob * > & | Outputs () |
|
vector< TensorShape > | InputTensorShapes () |
|
void | Wait (const OperatorBase &other, int stream_id=-1) |
|
virtual void | Finish () |
|
virtual void | AddRelatedBlobInfo (EnforceNotMet *err) |
|
const OperatorDef & | debug_def () const |
|
void | set_debug_def (const std::shared_ptr< const OperatorDef > &operator_def) |
|
bool | has_debug_def () const |
|
void | RecordLastFailedOpNetPosition () |
|
int | net_position () const |
|
void | set_net_position (int idx) |
|
const DeviceOption & | device_option () const |
|
const Event & | event () const |
|
Event & | event () |
|
void | ResetEvent () |
|
void | DisableEvent () |
|
bool | IsEventDisabled () const |
|
const std::string & | type () const |
|
void | annotate_engine (const std::string &engine) |
|
const std::string & | engine () const |
|
const Observer * | AttachObserver (std::unique_ptr< Observer > observer) |
|
std::unique_ptr< Observer > | DetachObserver (const Observer *observer_ptr) |
| Returns a unique_ptr to the removed observer. More...
|
|
virtual size_t | NumObservers () |
|
void | StartAllObservers () |
|
void | StopAllObservers () |
|
|
using | Observer = ObserverBase< OperatorBase > |
|
| USE_OPERATOR_CONTEXT_FUNCTIONS |
|
static constexpr int | kNoNetPositionSet = -1 |
|
int | pad_t () const |
|
int | pad_l () const |
|
int | pad_b () const |
|
int | pad_r () const |
|
int | kernel_h () const |
|
int | kernel_w () const |
|
int | stride_h () const |
|
int | stride_w () const |
|
int | adj_h () const |
|
int | adj_w () const |
|
void | ComputeSizeAndPad (const int in_size, const int stride, const int kernel, const int adj, int *pad_head, int *pad_tail, int *out_size) |
|
void | RecordEvent (const char *err_msg=nullptr) final |
|
std::string | getErrorMsg () |
|
| DISABLE_COPY_AND_ASSIGN (OperatorBase) |
|
vector< TIndex > | cudnn_input_dims_ |
|
vector< TIndex > | cudnn_filter_dims_ |
|
CuDNNWrapper | cudnn_wrapper_ |
|
cudnnTensorDescriptor_t | bottom_desc_ |
|
cudnnFilterDescriptor_t | filter_desc_ |
|
cudnnTensorDescriptor_t | bias_desc_ |
|
cudnnTensorDescriptor_t | top_desc_ |
|
cudnnConvolutionDescriptor_t | conv_desc_ |
|
const size_t | cudnn_ws_nbytes_limit_ |
|
size_t | cudnn_ws_nbytes_ |
|
bool | exhaustive_search_ |
|
bool | deterministic_ |
|
size_t | cudnn_state_ |
|
vector< int > | force_algo_ |
|
bool | enable_tensor_core_ |
|
vector< int > | kernel_ |
|
vector< int > | stride_ |
|
vector< int > | pads_ |
|
vector< int > | adj_ |
|
StorageOrder | order_ |
|
bool | shared_buffer_ |
|
Workspace * | ws_ |
|
CUDAContext | context_ |
|
std::unique_ptr< Event > | event_ |
|
std::vector< std::unique_ptr< Observer > > | observers_list_ |
|
template<typename T>
class caffe2::CudnnConvTransposeGradientOp< T >
Definition at line 104 of file conv_transpose_op_cudnn.cc.